2019
DOI: 10.1111/jar.12675
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Factors that predict good Active Support in services for people with intellectual disabilities: A multilevel model

Abstract: Background: Active Support, now widely adopted by disability support organizations, is difficult to implement. The study aim was to identify the factors associated with good Active Support.Methods: Data on service user and staff characteristics, quality of Active Support and practice leadership were collected from a sample of services from 14 organizations annually for between 2 and 7 years, using questionnaires, structured observations and interviews. Data were analysed using multilevel modelling (MLM). Resul… Show more

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Cited by 26 publications
(42 citation statements)
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“…Somewhat unexpectedly, factors predictive of Active Support in previous studies drawn from overlapping data sets (Bigby et al, 2019a;Bould et al, 2019) were not predictive in this study: these were whether or not staff had been trained in Active Support and homogeneity of service users (the number of ABS groups represented within a service) at the service level, and organisational size and time since adopting Active Support, at the organisational level. The limited variability in this data set, compared to the two earlier ones, provides the most plausible explanations for these differences.…”
Section: Discussioncontrasting
confidence: 83%
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“…Somewhat unexpectedly, factors predictive of Active Support in previous studies drawn from overlapping data sets (Bigby et al, 2019a;Bould et al, 2019) were not predictive in this study: these were whether or not staff had been trained in Active Support and homogeneity of service users (the number of ABS groups represented within a service) at the service level, and organisational size and time since adopting Active Support, at the organisational level. The limited variability in this data set, compared to the two earlier ones, provides the most plausible explanations for these differences.…”
Section: Discussioncontrasting
confidence: 83%
“…For this study, the presence or absence of each of these features in an organisation was derived from interviews with senior organisational leaders previously reported in Bigby et al (2019b). The present study has also confirmed findings from two earlier studies that good Active Support is predicted, at the individual level, by higher adaptive behaviour of service users, and, at the service level, by stronger practice leadership, and having six or fewer service users in a service (Bigby et al, 2019a;Bould et al, 2019). In addition, staff with a more positive perception of the quality of management was also predictive of good Active Support.…”
Section: Discussionsupporting
confidence: 83%
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“…Flynn et al (2018) found tentative evidence from a synthesis of 10 studies about experiences of implementing Active Support for the positive effect of combined classroom and in-situ staff training, services with relatively low staff-to-service user ratios and larger services (to a maximum of six service users), and management processes, such as team meetings. Lending greater support to findings of earlier research, Bigby, Bould, Iacono, Kavangh, and Beadle-Brown (2019) and Bould, Bigby, Iacono, and Beadle-Brown (2019) recently demonstrated the positive influence of strong frontline practice leadership in services on implementation of Active Support leadership.…”
mentioning
confidence: 60%